Text-to-Video
Diffusers
Safetensors
English
CogVideoXPipeline
ternary-quant
quantization
ternary
video-generation
dit
cogvideox
Instructions to use AsadIsmail/CogVideoX-2b-ternary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AsadIsmail/CogVideoX-2b-ternary with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AsadIsmail/CogVideoX-2b-ternary", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
| { | |
| "_class_name": "CogVideoXPipeline", | |
| "_diffusers_version": "0.30.0.dev0", | |
| "scheduler": [ | |
| "diffusers", | |
| "CogVideoXDDIMScheduler" | |
| ], | |
| "text_encoder": [ | |
| "transformers", | |
| "T5EncoderModel" | |
| ], | |
| "tokenizer": [ | |
| "transformers", | |
| "T5Tokenizer" | |
| ], | |
| "transformer": [ | |
| "diffusers", | |
| "CogVideoXTransformer3DModel" | |
| ], | |
| "vae": [ | |
| "diffusers", | |
| "AutoencoderKLCogVideoX" | |
| ] | |
| } |